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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Claude Mythos 5.1 represents Anthropic's latest advancement in the Mythos-class of models, tailored for sophisticated applications in cybersecurity, biology, scientific investigation, programming, and extensive knowledge-oriented tasks. While it shares the same foundational architecture as Claude Fable 5.1, it is differentiated by unique safety measures: Fable 5.1 is widely accessible, whereas Mythos 5.1 is limited to select trusted access programs designed with specific safeguards for cybersecurity and life sciences research. This model establishes a new benchmark in performance for autonomous coding and showcases unparalleled cyber capabilities among all Anthropic models released thus far. In the realm of scientific research, Mythos 5.1 can effectively handle specialized tools and intricate workflows related to molecular design, computational biology, and various technical fields. During testing by Anthropic, it successfully engineered high-affinity protein binders for multiple targets, achieving its highest recorded hit rate to date. Additionally, it demonstrated proficiency in optimizing seven different open-source deep learning models focused on protein and genomics. By pushing the boundaries of what is possible, Mythos 5.1 is positioned to make significant contributions to future research and development endeavors.

Description

DeepSeek-VL is an innovative open-source model that integrates vision and language capabilities, catering to practical applications in real-world contexts. Our strategy revolves around three fundamental aspects: we prioritize gathering diverse and scalable data that thoroughly encompasses various real-life situations, such as web screenshots, PDFs, OCR outputs, charts, and knowledge-based information, to ensure a holistic understanding of practical environments. Additionally, we develop a taxonomy based on actual user scenarios and curate a corresponding instruction tuning dataset that enhances the model's performance. This fine-tuning process significantly elevates user satisfaction and effectiveness in real-world applications. To address efficiency while meeting the requirements of typical scenarios, DeepSeek-VL features a hybrid vision encoder that adeptly handles high-resolution images (1024 x 1024) without incurring excessive computational costs. Moreover, this design choice not only optimizes performance but also ensures accessibility for a broader range of users and applications.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Python Yes 
AiAssistWorks Yes 
C Yes 
Cheaper Inference Yes 
Cody Yes 
Cursor Yes 
Flowise Yes 
Hermes Agent Yes 
Julia Yes 
Objective-C Yes 
OfoxAI Yes 
Oxen.ai Yes 
PrivatClaw Yes 
React Yes 
Ruby Yes 
SQL Yes 
Scala Yes 
Scalestack Yes 
Sup AI Yes 
Xcode Yes 

Integrations

Python Yes 
AiAssistWorks No 
C No 
Cheaper Inference No 
Cody No 
Cursor No 
Flowise No 
Hermes Agent No 
Julia No 
Objective-C No 
OfoxAI No 
Oxen.ai No 
PrivatClaw No 
React No 
Ruby No 
SQL No 
Scala No 
Scalestack No 
Sup AI No 
Xcode No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Anthropic

Founded

2021

Country

United States

Website

claude.ai

Vendor Details

Company Name

DeepSeek

Founded

2023

Country

China

Website

www.deepseek.com

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